Evidence map›Paper›PMID 39275759›Full record

ArticleSensors (Basel, Switzerland)2024

A Combined Sensor Design Applied to Large-Scale Measurement Systems.

Xiao Pan, Huashuai Ren, Fei Liu, Jiapei Li, Pengfei Cheng, Zhongwen Deng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiao PanXi'an Aerocomm Measurement and Control Technology Co., Ltd., Xi'an 710065, China.
Huashuai RenXi'an Aerocomm Measurement and Control Technology Co., Ltd., Xi'an 710065, China.
Fei LiuXi'an Aerocomm Measurement and Control Technology Co., Ltd., Xi'an 710065, China.
Jiapei LiSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.
Pengfei ChengSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China.
Zhongwen DengAcademy of Advanced Interdisciplinary Research, Xidian University, Xi'an 710126, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The photoelectric sensing unit in a large-space measurement system primarily determines the measurement accuracy of the system. Aiming to resolve the problem whereby existing sensing units have difficulty accurately measuring the hidden points and free-form surfaces in large components, in this study, we designed a multi-node fusion of a combined sensor. Firstly, a multi-node fusion hidden-point measurement model and a solution model are established, and the measurement results converge after the number of nodes is simulated to be nine. Secondly, an adaptive front-end photoelectric conditioning circuit, including signal amplification, filtering, and adjustable level is designed, and the accuracy of the circuit function is verified. Then, a nonlinear least-squares calibration method is proposed by combining the constraints of the multi-position vector cones, and the internal parameters of the probe, in relation to the various detection nodes, are calibrated. Finally, a distributed system and laser tracking system are introduced to establish a fusion experimental validation platform, and the results show that the standard deviation and accuracy of the three-axis measurement of the test point of the combined sensor in the measurement area of 7000 mm × 7000 mm × 3000 mm are better than 0.026 mm and 0.24 mm, respectively, and the accuracy of the length measurement is within 0.28 mm. Further, the measurement accuracy of the hidden point of the aircraft hood and the free-form surface is better than 0.26 mm, which can meet most of the industrial measurement needs and expand the application field of large-space measurement systems.

Indexed as

combined sensorlarge-space measurement systemmulti-node fusionprecision measurementsignal conditioning

Identifiers

PMID39275759
PMCPMC11398062

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.